This paper is published in Volume-5, Issue-2, 2019
Area
Cloud Computing
Author
Bhushan Dinkar Patil, R. B. Wagh
Org/Univ
R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
Pub. Date
29 April, 2019
Paper ID
V5I2-2112
Publisher
Keywords
Virtual Machines(VMs), Cloud computing, Load balancing

Citationsacebook

IEEE
Bhushan Dinkar Patil, R. B. Wagh. Load balance in cloud on the basis of size of packet, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Bhushan Dinkar Patil, R. B. Wagh (2019). Load balance in cloud on the basis of size of packet. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Bhushan Dinkar Patil, R. B. Wagh. "Load balance in cloud on the basis of size of packet." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Cloud computing helps to share data and also provide many resources to users so, the users can pay only for those resources as much they used. The aim of cloud computing is to stores the data and distributed resources in the open environment over the network, where the users can get data easily. The goals of cloud computing are to use the resources efficiently and gain maximum profit. Multiple users request for information at a time. Due to such a huge amount of data request from users, the problem of load balancing arises which becomes the main challenge in the field of cloud computing. To handle such requests efficiently and effectively, various load balancing approaches have been proposed in the past years. Scheduling of incoming users request is a critical problem in cloud computing because a cloud provider has to serve many users in cloud computing. A good scheduling technique is used to bits of help in proper and efficient utilization of the resources. This system designed a better scheduling technique. Here we also use the VMs for handling the user’s requests. Scheduling is performed on the basis of available disk space and file size to be processed.